2018
DOI: 10.1039/c8ay01239c
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FT-NIR, MicroNIR and LED-MicroNIR for detection of adulteration in palm oil via PLS and LDA

Abstract: Comparison of the chemometrics performance of FTNIR, MicroNIR and LED-MicroNIR to detect lard adulteration in palm oil.

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Cited by 26 publications
(9 citation statements)
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“…To determine the proportions of each phase, one can vary the averaging of two DFT FIR spectra from 0% of the t-phase and 100% of the m-phase until 100% of the t-phase and 0% of the m-phase in steps of 10% (see examples in Figures S6 and S7). To evaluate which composition (percentage of phases) is the closest to the experimental FIR spectra, one can then quantify the similarity between the spectra using an evaluation metric, using the well-known coefficient of determination R 2 , as demonstrated in previous studies for the extraction of quantitative information from IR data. , By minimizing R 2 , one obtains the DFT mixed compositions closest to the experimental ones. To do so, both theoretical and experimental spectra were scaled to 1 using a scaling factor.…”
Section: Discussion Of Resultsmentioning
confidence: 99%
“…To determine the proportions of each phase, one can vary the averaging of two DFT FIR spectra from 0% of the t-phase and 100% of the m-phase until 100% of the t-phase and 0% of the m-phase in steps of 10% (see examples in Figures S6 and S7). To evaluate which composition (percentage of phases) is the closest to the experimental FIR spectra, one can then quantify the similarity between the spectra using an evaluation metric, using the well-known coefficient of determination R 2 , as demonstrated in previous studies for the extraction of quantitative information from IR data. , By minimizing R 2 , one obtains the DFT mixed compositions closest to the experimental ones. To do so, both theoretical and experimental spectra were scaled to 1 using a scaling factor.…”
Section: Discussion Of Resultsmentioning
confidence: 99%
“…In the quantitative analysis of single component oil in edible oil blends, the measured matrix is usually preprocessed before model establishment to increase the accuracy and reliability of the results [ 77 , 78 , 79 , 80 ]. Du et al [ 81 ] used MSC, SNV, SG smoothing, Norris derivative and normalization pretreatments in the quantification of other oils in camellia oil.…”
Section: Chemometric Methodsmentioning
confidence: 99%
“…Although variable selection methods are not as commonly used as preprocessing methods, it is undeniable that the prediction results of quantitative models are more accurate and reliable after variable selection. Basri et al [ 80 , 91 ] used NIR spectroscopy to determine the lard content in palm oil. In order to remove the uninformative variables, the CARS method was applied.…”
Section: Chemometric Methodsmentioning
confidence: 99%
“…This was attributed to the narrow wavelength range of the device (950 -1650 nm), which limits the information provided through spectral analysis. The Viavi MicroNIR Pro 1700 has also been used for the determination of adulteration of palm oil with lard (Basri et al, 2018). The validated method had a R 2 val of 0.99, for all of the adulterants.…”
Section: Near-infrared Spectroscopymentioning
confidence: 99%